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Pitfalls in the statistical examination and interpretation of the correspondence between physician and patient satisfaction ratings and their relevance for shared decision making research

Overview of attention for article published in BMC Medical Research Methodology, May 2011
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1 X user

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24 Dimensions

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Title
Pitfalls in the statistical examination and interpretation of the correspondence between physician and patient satisfaction ratings and their relevance for shared decision making research
Published in
BMC Medical Research Methodology, May 2011
DOI 10.1186/1471-2288-11-71
Pubmed ID
Authors

Oliver Hirsch, Heidemarie Keller, Christina Albohn-Kühne, Tanja Krones, Norbert Donner-Banzhoff

Abstract

The correspondence of satisfaction ratings between physicians and patients can be assessed on different dimensions. One may examine whether they differ between the two groups or focus on measures of association or agreement. The aim of our study was to evaluate methodological difficulties in calculating the correspondence between patient and physician satisfaction ratings and to show the relevance for shared decision making research.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Netherlands 1 1%
Ireland 1 1%
Unknown 75 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 23%
Student > Master 14 18%
Student > Ph. D. Student 9 11%
Student > Doctoral Student 9 11%
Other 6 8%
Other 15 19%
Unknown 8 10%
Readers by discipline Count As %
Medicine and Dentistry 36 46%
Social Sciences 7 9%
Psychology 6 8%
Computer Science 3 4%
Nursing and Health Professions 3 4%
Other 11 14%
Unknown 13 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 September 2011.
All research outputs
#15,236,094
of 22,653,392 outputs
Outputs from BMC Medical Research Methodology
#1,498
of 2,000 outputs
Outputs of similar age
#84,209
of 111,796 outputs
Outputs of similar age from BMC Medical Research Methodology
#19
of 27 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,000 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 111,796 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.